GRAWITA: VLT Survey Telescope observations of the gravitational wave sources GW150914 and GW151226
E. Brocato, M. Branchesi, E. Cappellaro, S. Covino, A. Grado, G., Greco, L. Limatola, G. Stratta, S. Yang, S. Campana, P. D'Avanzo, F. Getman,, A. Melandri, L. Nicastro, E. Palazzi, E. Pian, S. Piranomonte, L. Pulone, A., Rossi, L. Tomasella, L. Amati, L. A. Antonelli

TL;DR
This paper reports on deep optical follow-up observations of the first two gravitational-wave events GW150914 and GW151226 using the VLT Survey Telescope, describing the observational strategy, search procedures, and results, including transient discoveries and candidate assessments.
Contribution
It introduces a novel observational strategy and two independent search procedures for optical counterparts of gravitational-wave sources, and evaluates their effectiveness in follow-up surveys.
Findings
No confirmed electromagnetic counterparts were identified.
Several transient candidates were discovered, but none linked to GW events.
A possible correlation between a supernova and a gamma-ray burst was noted.
Abstract
We report the results of deep optical follow-up surveys of the first two gravitational-wave sources, GW150914 and GW151226, done by the GRAvitational Wave Inaf TeAm Collaboration (GRAWITA). The VLT Survey Telescope (VST) responded promptly to the gravitational-wave alerts sent by the LIGO and Virgo Collaborations, monitoring a region of deg and deg for GW150914 and GW151226, respectively, and repeated the observations over nearly two months. Both surveys reached an average limiting magnitude of about 21 in the band. The paper describes the VST observational strategy and two independent procedures developed to search for transient counterpart candidates in multi-epoch VST images. Several transients have been discovered but no candidates are recognized to be related to the gravitational-wave events. Interestingly, among many contaminant supernovae, we find a possible…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
